z-logo
open-access-imgOpen Access
Detection of Abnormality in Electrocardiogram (ECG) Signals Based on Katz’s and Higuchi’s Method Under Fractal Dimensions
Author(s) -
Md. Mashiur Rahman
Publication year - 2016
Publication title -
computational biology and bioinformatics
Language(s) - English
Resource type - Journals
eISSN - 2330-8281
pISSN - 2330-8265
DOI - 10.11648/j.cbb.20160404.11
Subject(s) - abnormality , pattern recognition (psychology) , fractal , qrs complex , fractal dimension , artificial intelligence , computer science , process (computing) , feature extraction , electrocardiography , signal (programming language) , rr interval , feature (linguistics) , interval (graph theory) , cardiology , medicine , mathematics , heart rate variability , heart rate , mathematical analysis , psychiatry , linguistics , philosophy , combinatorics , blood pressure , programming language , operating system

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom